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#Model releases#Speech#Google
#Model releases#Speech#Google
#Model releases#Reasoning#Agents
#Model releases#Embodied AI#OpenAI
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#Product updates#Agents#Multimodal
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Ant Ling has officially open-sourced two Base Models, Ling-3.0-tiny-base and Ling-3.0-flash-base, and simultaneously released the weights from three stages—pre-training, mid-training, and WSM merging—for a total of 6 checkpoints. Ling-3.0-tiny-base has 7.9B total parameters and 1.3B activated parameters, while Ling-3.0-flash-base has 124B total parameters and 5.1B activated parameters; both can be used for continued pre-training, supervised fine-tuning, preference optimization, reinforcement learning post-training, and distillation. The official notes state that the Base Models have not completed instruction alignment and are not recommended for direct deployment as end-user-facing chat services without post-training.
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Introducing GLM-5.3: Built to Code. Ready for Cyber Defense. - Top-tier coding and agentic capabilities, achieved through post-training on the 743B base model - A major leap in cybersecurity, setting a new standard among open models Tech Blog: https://t.co/ekQkO83jCv https://t.co/y3Y2AB0wxr
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#Model releases#Open-source ecosystem#Multimodal

#Product updates#Safety / alignment#Agents
#Product updates#Google#Multimodal
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Gemini 3.7 Flash is here. It’s stronger for coding, knowledge work, and web development. 🧵
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#Model releases#Multimodal#Open-source ecosystem
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